theme-d-rte
Theme-D runtime environment
This package is needed to run Theme-D programs. The package contains
the Theme-D runtime environment and script run-theme-d-program to run
Theme-D programs.
dhis-tools-dns
Dynamic Host Information System - DNS configuration tools
This package includes a set of tools that may be used to manually
create DHIS records on a dynamic DNS server.
gnome-desktop-environment
The GNOME Desktop Environment - transitional package
libdolfinx-complex0.6gcc13
Shared libraries for DOLFIN
DOLFIN is the Python and C++ interface of the FEniCS project for the
automated solution of differential equations, providing a consistent
PSE (Problem Solving Environment) for solving ordinary and partial
differential equations. Key features include a simple, consistent and
intuitive object-oriented API; automatic and efficient evaluation of
variational forms; automatic and efficient assembly of linear
systems; and support for general families of finite elements.
libsejda-injector-java
lightweight dependency injection engine
Sejda-injector is a simple dependency injection engine based on a similar
library called Feather and is mainly used in PDFsam. Dependency injection is a
technique whereby one object supplies the dependencies of another object.
libsharp0
fast spherical harmonic transforms - C/C++ development library
libsharp is a library for spherical harmonic transforms (SHTs), which evolved
from the libpsht library, addressing several of its shortcomings, such as
adding MPI support for distributed memory systems and SHTs of fields with
arbitrary spin, but also supporting new developments in CPU instruction sets
like the Advanced Vector Extensions (AVX) or fused multiply-accumulate (FMA)
instructions. The library is implemented in portable C99 and provides an
interface that can be easily accessed from other programming languages such as
C++, Fortran, Python etc. Generally, libsharp's performance is at least on par
with that of its predecessor; however, significant improvements were made to
the algorithms for scalar SHTs, which are roughly twice as fast when using the
same CPU capabilities.